An extended-enterprise digital data library for through-life cost estimation in innovative product development

Wai Ming Cheung, Antony Mileham, Linda Newnes, Robert Marsh, John Lanham

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)

Abstract

Traditionally, cost estimation methods are used to predict costs only after a product model has been built, and not at an early design stage when there is little data and information available. The traditional cost models and systems used require a large amount of detailed data before a cost calculation can be made. This research has identified that, one of the main challenges to improve this situation in modelling cost is data identification and collection. The aim of this paper therefore is to discuss the methods of developing an extended-enterprise digital data library, data searching and data transfer mechanisms to support through-life cost estimation in the innovative product development processes. The paper begins with an introduction of relevant research in data modelling in cost estimation. This is followed by a section, which highlights problems of performing cost estimates for innovative low volume products, and subsequently the proposed solutions and example applications.
Original languageEnglish
Title of host publicationProceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology
PublisherSpringer
Pages349-360
Volume66
Edition2010
ISBN (Electronic)978-3-642-10430-5
ISBN (Print)978-3-642-10429-9
DOIs
Publication statusPublished - 2009

Publication series

NameAdvances in Soft Computing: Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology
PublisherSpringer
ISSN (Print)1615-3871

Fingerprint Dive into the research topics of 'An extended-enterprise digital data library for through-life cost estimation in innovative product development'. Together they form a unique fingerprint.

Cite this